EDM

Keyphrases

Publications

2022

Frederik Baucks, Laurenz Wiskott
Simulating Policy Changes in Prerequisite-Free Curricula: A Supervised Data-Driven Approach. EDM (2022)
Yuyang Nie, Helene Deacon, Alona Fyshe, Carrie Demmans Epp
Predicting Reading Comprehension Scores of Elementary School Students. EDM (2022)
Lea Cohausz
Towards Real Interpretability of Student Success Prediction Combining Methods of XAI and Social Science. EDM (2022)
Yingbo Ma, Gloria Ashiya Katuka, Mehmet Celepkolu, Kristy Elizabeth Boyer
Investigating Multimodal Predictors of Peer Satisfaction for Collaborative Coding in Middle School. EDM (2022)
Stephen Fancsali, April Murphy, Steven Ritter
"Closing the Loop" in Educational Data Science with an Open Source Architecture for Large-Scale Field Trials. EDM (2022)
Aubrey Condor, Zachary A. Pardos
A deep reinforcement learning approach to automatic formative feedback. EDM (2022)
Shamya Karumbaiah, Jiayi Zhang, Ryan Baker, Richard Scruggs, Whitney L. Cade, Margaret Clements, Shuqiong Lin
Using Neural Network-Based Knowledge Tracing for a Learning System with Unreliable Skill Tags. EDM (2022)
Niall Twomey, Sarah McMullan, Anat Elhalal, Rafael Poyiadzi, Luis M. Vaquero
Equitable Ability Estimation in Neurodivergent Student Populations with Zero-Inflated Learner Models. EDM (2022)
Aqil Zainal Azhar, Avi Segal, Kobi Gal
Optimizing Representations and Policies for Question Sequencing using Reinforcement Learning. EDM (2022)
Kerstin Wagner, Agathe Merceron, Petra Sauer, Niels Pinkwart
Personalized and Explainable Course Recommendations for Students at Risk of Dropping out. EDM (2022)
Gio Picones, Benjamin Paaßen, Irena Koprinska, Kalina Yacef
Combining domain modelling and student modelling techniques in a single automated pipeline. EDM (2022)
Ralucca Gera, D'Marie Bartolf, Simona Tick, Akrati Saxena
CHUNK Learning: A Tool that Supports Personalized Education. EDM (2022)
Ethan Prihar, Manaal Syed, Korinn Ostrow, Stacy T. Shaw, Adam Sales, Neil Heffernan
Exploring Common Trends in Online Educational Experiments. EDM (2022)
Jih Soong Tan, Ian K. T. Tan, Lay-Ki Soon, Huey Fang Ong
Improved Automated Essay Scoring using Gaussian Multi-Class SMOTE for Dataset Sampling. EDM (2022)
Katerina Christhilf, Natalie Newton, Reese Butterfuss, Kathryn S. McCarthy, Laura K. Allen, Joseph P. Magliano, Danielle S. McNamara
Using Markov Models and Random Walks to Examine Strategy Use of More or Less Successful Comprehenders. EDM (2022)
Yang Zhi-Han, Shiyue Zhang, Anna N. Rafferty
Adversarial bandits for drawing generalizable conclusions in non-adversarial experiments: an empirical study. EDM (2022)
Raysa Rivera-Bergollo, Sami Baral, Anthony Botelho, Neil T. Heffernan
Leveraging Auxiliary Data from Similar Problems to Improve Automatic Open Response Scoring. EDM (2022)
Armando M. Toda, Ana C. T. Klock, Filipe Dwan Pereira, Luiz A. L. Rodrigues, Paula Toledo Palomino, Vinícius Lopes, Craig D. Stewart, Elaine H. T. Oliveira, Isabela Gasparini, Seiji Isotani, Alexandra I. Cristea
Towards the understanding of cultural differences in between gamification preferences: A data-driven comparison between the US and Brazil. EDM (2022)
Lan Jiang, Nigel Bosch
Mining and Assessing Anomalies in Students' Online Learning Activities with Self-supervised Machine Learning. EDM (2022)
Nathan Ong, Jiaye Zhu, Daniel Mossé
Towards Including Instructor Features in Student Grade Prediction. EDM (2022)
Huanyi Chen, Paul A. S. Ward
Clustering Students Using Pre-Midterm Behaviour Data and Predict Their Exam Performance. EDM (2022)
Juan Camilo Sanguino, Rubén Manrique, Olga Mariño, Mario Linares, Nicolás Cardozo
Log mining for course recommendation in limited information scenarios. EDM (2022)
Jeffrey Matayoshi, Hasan Uzun, Eric Cosyn
Using a Randomized Experiment to Compare the Performance of Two Adaptive Assessment Engines. EDM (2022)
Boxuan Ma, Gayan Prasad Hettiarachchi, Yuji Ando
Format-Aware Item Response Theory for Predicting Vocabulary Proficiency. EDM (2022)
Ethan Prihar, Alexander Moore, Neil T. Heffernan
Identifying Explanations Within Student-Tutor Chat Logs. EDM (2022)
Yun Huang, Steven Dang, J. Elizabeth Richey, Michael W. Asher, Nikki G. Lobczowski, Danielle R. Chine, Elizabeth A. McLaughlin, Judith M. Harackiewicz, Vincent Aleven, Kenneth R. Koedinger
Item Response Theory-Based Gaming Detection. EDM (2022)
Paul Hur, Haejin Lee, Suma Bhat, Nigel Bosch
Using Machine Learning Explainability Methods to Personalize Interventions for Students. EDM (2022)
Mohammad Amin Samadi, Jacqueline G. Cavazos, Yiwen Lin, Nia Nixon
Exploring Cultural Diversity and Collaborative Team Communication through a Dynamical Systems Lens. EDM (2022)
Alireza A. Namanloo, Julie Thorpe, Amirali Salehi-Abari
Improving Peer Assessment with Graph Neural Networks. EDM (2022)
Peide Zhu, Claudia Hauff, Jie Yang
MOOC-Rec: Instructional Video Clip Recommendation for MOOC Forum Questions. EDM (2022)
Niels Seidel
Modeling study duration considering course enrollments and student diversity. EDM (2022)
Jillian Christine Johnson, Andrew Olney
Using community-based problems to increase motivation in a data science virtual internship. EDM (2022)
Wei Qiu, S. Supraja, Andy W. H. Khong
Toward Better Grade Prediction via A2GP - An Academic Achievement Inspired Predictive Model. EDM (2022)
Phillip Grimaldi, Kodi Weatherholtz, Kelli Millwood Hill
Estimating the causal effects of Khan Academy Map Accelerator across demographic subgroups. EDM (2022)
Shravya Bhat, Huy Anh Nguyen, Steven Moore, John C. Stamper, Majd Sakr, Eric Nyberg
Towards Automated Generation and Evaluation of Questions in Educational Domains. EDM (2022)
Yuheng Li, Mladen Rakovic, Boon Xin Poh, Dragan Gasevic, Guanliang Chen
Automatic Classification of Learning Objectives Based on Bloom's Taxonomy. EDM (2022)
Alireza Ahadi, Kirsty Kitto, Marian-Andrei Rizoiu, Katarzyna Musial
Skills Taught vs Skills Sought: Using Skills Analytics to Identify the Gaps between Curriculum and Job Markets. EDM (2022)
Mahbubul Hasan, Lih-Yuan Deng, John Sabatini, Dale Bowman, Ching-Chi Yang, John Hollander
Effect of Q-matrix Misspecification on Variational Autoencoders (VAE) for Multidimensional Item Response Theory (MIRT) Models Estimation. EDM (2022)
Adam Sales, Neil T. Heffernan
Causal Inference in Educational Data Mining. EDM (2022)
Stacy Shaw, Adam Sales
Using the Open Science Framework to promote Open Science in Education Research. EDM (2022)
Tristan Maidment, Mingzhi Yu, Nikki G. Lobczowski, Adriana Kovashka, Erin Walker, Diane J. Litman, Timothy Nokes-Malach
Building a Reinforcement Learning Environment from Limited Data to Optimize Teachable Robot Interventions. EDM (2022)
Zhikai Gao, Bradley Erickson, Yiqiao Xu, Collin F. Lynch, Sarah Heckman, Tiffany Barnes
Admitting you have a problem is the first step: Modeling when and why students seek help in programming assignments. EDM (2022)
Arwa Al Saqaabi, Craig D. Stewart, Eleni C. Akrida, Alexandra I. Cristea
A Paraphrase Identification Approach in Paragraph length texts. EDM (2022)
Vinitra Swamy, Bahar Radmehr, Natasa Krco, Mirko Marras, Tanja Käser
Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs. EDM (2022)
Yiqiu Zhou, Jina Kang
Characterizing joint attention dynamics during collaborative problem-solving in an immersive astronomy simulation. EDM (2022)
Ariel Blobstein, Kobi Gal, David R. Karger, Marc T. Facciotti, Hyunsoo Gloria Kim, Jumana Almahmoud, Kamali Sripathi
#lets-discuss: Analyzing Student Affect in Course Forums Using Emoji. EDM (2022)
Vasile Rus, Stephen Fancsali
The Third Workshop of the Learner Data Institute: Big Data, Research Challenges, \& Science Convergence in Educational Data Science. EDM (2022)
Minghao Cai, Carrie Demmans Epp
Modeling Cognitive Load and Affect to Support Adaptive Online Learning. EDM (2022)
Daniel D. Leeds, Cody Chen, Yijun Zhao, Fiza Metla, James Guest, Gary Weiss
Generalized Sequential Pattern Mining of Undergraduate Courses. EDM (2022)
Ting Long, Yunfei Liu, Weinan Zhang, Wei Xia, Zhicheng He, Ruiming Tang, Yong Yu
Automatical Graph-based Knowledge Tracing. EDM (2022)